Qing Nie

971 total citations · 1 hit paper
14 papers, 554 citations indexed

About

Qing Nie is a scholar working on Molecular Biology, Immunology and Cognitive Neuroscience. According to data from OpenAlex, Qing Nie has authored 14 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cognitive Neuroscience. Recurrent topics in Qing Nie's work include Neural dynamics and brain function (3 papers), Optical Coherence Tomography Applications (3 papers) and Extracellular vesicles in disease (2 papers). Qing Nie is often cited by papers focused on Neural dynamics and brain function (3 papers), Optical Coherence Tomography Applications (3 papers) and Extracellular vesicles in disease (2 papers). Qing Nie collaborates with scholars based in China, United States and Switzerland. Qing Nie's co-authors include Leyuan Fang, Shutao Li, Cynthia A. Toth, Sina Farsiu, Joseph A. Izatt, Anthony N. Kuo, Ryan P. McNabb, Raji R. Nagalla, Michelle A. Digman and Philip O. Scumpia and has published in prestigious journals such as Nature Communications, The Journal of Physiology and Scientific Reports.

In The Last Decade

Qing Nie

11 papers receiving 545 citations

Hit Papers

Hydrogel crosslinking mod... 2024 2026 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hydrogel crosslinking modulates macrophages, fibroblasts, and their communication, during wound healing
    2024 87 citations Sergei Butenko, Raji R. Nagalla et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qing Nie China 5 352 191 159 104 62 14 554
Akira Kubota Japan 16 78 0.2× 433 2.3× 179 1.1× 162 1.6× 111 1.8× 64 807
Guangming Ni China 12 322 0.9× 88 0.5× 99 0.6× 55 0.5× 24 0.4× 55 658
Chuanqing Zhou China 13 340 1.0× 50 0.3× 162 1.0× 11 0.1× 111 1.8× 45 579
Hyejun Ra United States 14 654 1.9× 32 0.2× 101 0.6× 55 0.5× 22 0.4× 19 1.0k
Jennet Toyjanova United States 6 198 0.6× 50 0.3× 31 0.2× 12 0.1× 24 0.4× 7 399
Jianxu Chen United States 11 67 0.2× 109 0.6× 61 0.4× 16 0.2× 4 0.1× 42 447
Mikel Ariz Spain 10 64 0.2× 80 0.4× 45 0.3× 11 0.1× 35 0.6× 19 404
Hyeon‐Cheol Park United States 17 341 1.0× 41 0.2× 110 0.7× 36 0.3× 20 0.3× 38 550
Ningbo Chen China 17 567 1.6× 33 0.2× 161 1.0× 14 0.1× 4 0.1× 33 783
Zsuzsanna Püspöki Switzerland 6 119 0.3× 50 0.3× 31 0.2× 16 0.2× 5 0.1× 11 414

Countries citing papers authored by Qing Nie

Since Specialization
Citations

This map shows the geographic impact of Qing Nie's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qing Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Nie more than expected).

Fields of papers citing papers by Qing Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Nie. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qing Nie. The network helps show where Qing Nie may publish in the future.

Co-authorship network of co-authors of Qing Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Nie. A scholar is included among the top collaborators of Qing Nie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Nie. Qing Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Ma, Z., Xiaoyue Sun, Zijun Wang, et al.. (2025). The Dynamic Expression Changes of Neutrophil Extracellular Traps in Mouse Apical Periodontitis: A Potential Correlation With IL‐17. Journal of Immunology Research. 2025(1). 8039031–8039031.
2.
Zhang, Ji, et al.. (2025). Multiscale mathematical model-informed reinforcement learning optimizes combination treatment scheduling in glioblastoma evolution. Science Advances. 11(32). eadv3316–eadv3316. 1 indexed citations
3.
4.
Yan, Yan, et al.. (2025). Transfer learning of multicellular organization via single-cell and spatial transcriptomics. PLoS Computational Biology. 21(4). e1012991–e1012991. 3 indexed citations
5.
Lin, Haofeng, Ji Zhang, Qing Nie, & Xiaoqiang Sun. (2025). Multiscale Modeling of Tumor-Macrophage Interactions Underlying Immunotherapy Resistance in Glioblastoma. Multiscale Modeling and Simulation. 23(2). 838–863.
6.
7.
Butenko, Sergei, Raji R. Nagalla, Christian F. Guerrero‐Juarez, et al.. (2024). Hydrogel crosslinking modulates macrophages, fibroblasts, and their communication, during wound healing. Nature Communications. 15(1). 6820–6820. 87 indexed citations breakdown →
8.
Li, Ye, et al.. (2023). Deciphering the Heterogeneity Landscape of Mesenchymal Stem/Stromal Cell‐Derived Extracellular Vesicles for Precise Selection in Translational Medicine. Advanced Healthcare Materials. 12(15). e2202453–e2202453. 23 indexed citations
9.
Grieco, Steven F., et al.. (2022). Tracking longitudinal population dynamics of single neuronal calcium signal using SCOUT. Cell Reports Methods. 2(5). 100207–100207. 3 indexed citations
10.
Zhang, Zhenzhen, Qing Nie, Heng Liu, et al.. (2017). A Shadowing Loss Compensation Method for Hybrid RSS-Based Indoor Localization. 1381–1385. 1 indexed citations
11.
Xu, Xiangmin, Nicholas D. Olivas, Taruna Ikrar, et al.. (2016). Primary visual cortex shows laminar‐specific and balanced circuit organization of excitatory and inhibitory synaptic connectivity. The Journal of Physiology. 594(7). 1891–1910. 40 indexed citations
12.
Allingham, Michael J., Qing Nie, Eleonora M. Lad, et al.. (2015). Robust, easy-to-use, semiautomated software quantifies lesion rim area hyperautofluorescence and predicts progression of geographic atrophy.. Investigative Ophthalmology & Visual Science. 56(7). 2829–2829. 1 indexed citations
13.
Fang, Leyuan, Shutao Li, Ryan P. McNabb, et al.. (2013). Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation. IEEE Transactions on Medical Imaging. 32(11). 2034–2049. 187 indexed citations
14.
Fang, Leyuan, Shutao Li, Qing Nie, et al.. (2012). Sparsity based denoising of spectral domain optical coherence tomography images. Biomedical Optics Express. 3(5). 927–927. 207 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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